Low-Latency and Energy-Efficient Federated Learning Over Cell-Free Networks: A Trade-Off Analysis
Federated learning (FL) enables distributed model training by exchanging models rather than raw data, preserving privacy and reducing communication overhead. However, as the number of FL users grows, traditional wireless networks with orthogonal access face increasing latency due to limited scalabil...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
IEEE
2025-01-01
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| سلاسل: | IEEE Open Journal of the Communications Society |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ieeexplore.ieee.org/document/10937196/ |
| الوسوم: |
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